adoptr (version 0.4.2)

Binomial-class: Binomial data distribution

Description

Implements the normal approximation for a test on rates. The reponse rate in the control group, , has to be specified by rate_control. The null hypothesis is: , where denotes the response rate in the invervention group. It is tested against the alternative . The test statistic is given as , where denotes the mean between and in the two-armed case, and in the one-armed case.#' All priors have to be defined for the rate difference .

Usage

Binomial(rate_control, two_armed = TRUE)
# S4 method for Binomial
quantile(x, probs, n, theta, ...)
# S4 method for Binomial,numeric
simulate(object, nsim, n, theta, seed = NULL, ...)

Arguments

rate_control

assumed response rate in control group

two_armed

logical indicating if a two-armed trial is regarded

x

outcome

probs

vector of probabilities

n

sample size

theta

distribution parameter

...

further optional arguments

object

object of class Binomial

nsim

number of simulation runs

seed

random seed

Slots

rate_control

cf. parameter 'rate_control'

Details

Note that simulate for class Binomial simulates the normal approximation of the test statistic.

See Also

see probability_density_function and cumulative_distribution_function to evaluate the pdf and the cdf, respectively.

Examples

# NOT RUN {
datadist <- Binomial(rate_control = 0.2, two_armed = FALSE)

# }